A leaked Woolworths employee training module slide claims that it is using "artificial intelligence and facial mapping" in its stores -- but the company denies it is using the technology. This is from a Woolies training module from 2020." At the bottom of the slide, a box titled "Did You Know?" boasts about the company's use of technology to catch offenders: "Our high standard CCTV is already resulting in offenders being arrested by police. We are using technology like artificial intelligence and facial mapping to identify offenders!" Woolworths confirmed that the slide was real, but denied it is using either artificial intelligence or facial recognition to prevent theft.

Face recognition gained a lot of attention in sci-fi movies that used them to track the fleeing protagonists across cities and countries. It did of course look like something that was not really possible but Facial recognition has indeed become a norm all around. AI-driven Facial recognition systems are now used across various industries for various purposes. The advantages of facial recognition are getting understood and its uses are being amplified to add value to various services. One of the major uses is in the security applications in various industries.

Both artificial intelligence (AI) and emotional intelligence (EI) have critical roles to play in security. At the same time, Maureen Metcalf of the Forbes Coaches Council published leadership trends for 2021. They involve economic instability, erosion of trust in societal institutions, and decreasing worker privacy as the office moves home. The trick for security professionals is to join the skills and mindsets that constitute the leadership list to the phenomena that make up the security megatrends. The gap between the two -- which threatens to become a chasm during these times of tectonic shifts -- must be bridged for security professionals not to be left behind.

We live in an age where we have unprecedented access to almost any information we need. With the emergence of new technology like artificial intelligence (AI), facial recognition, big data and more, the human experience is being changed forever. Almost anything you need is just a tap away; but this access comes at a price--data for data. A simple online search may seem harmless, but before you know it, you're being bombarded with ads offering you exactly what you were looking for. How exactly does this work?

We live in an age where we have unprecedented access to almost any information we need. With the emergence of new technology like artificial intelligence (AI), facial recognition, big data and more, the human experience is being changed forever. Almost anything you need is just a tap away; but this access comes at a price--data for data. A simple online search may seem harmless, but before you know it, you're being bombarded with ads offering you exactly what you were looking for. How exactly does this work?

In 2020, we will see US governments shift the conversation from who implements AI fastest to how we can implement most responsibly. While China is already using AI to measure students' brain waves with IoT sensors during class to help teachers provide more customizable content to achieve better retention and results, it's likely that the U.S. government will focus heavily in the coming year on privacy regulations to ensure AI use cases like this are fully vetted before being allowed. Federal regulations on privacy when it comes to the use of AI will take center stage in 2020. We've already seen the beginnings of this with two instances of the U.S. government taking action to prevent AI overstepping in states California and Massachusetts. This past May, the San Francisco Board of Supervisors banned the use of facial recognition technology by police and all other municipal agencies under the Stop Secret Surveillance Ordinance.

When Facebook started automatically tagging faces in uploaded images, nobody realized that this facial recognition technology would hike up to tracking people down while walking on the streets. In the past several years, this disruptive technology has gained immense popularity, that it is now used everywhere, from airports to shopping centers, to law enforcement. With its growing predominance in national safety and security, the face recognition market is estimated to reach USD 11.30 Billion by 2026. "Facial recognition has been around for a long time--like the 1960s. Perhaps the father of facial recognition, Woodrow Wilson Bledsoe, an American mathematician and computer scientist who classified photos of faces all by hand, (RAND tablet), even he might have been alarmed at how facial recognition technology is supercharged today by advances in computing power, 5G speeds and AI paired with machine learning."– Moreover, the advancements in artificial intelligence and machine learning are bringing about an active expansion to this technology.

A woman uses an ATM with facial recognition technology during the presentation of the new service by CaixaBank in Barcelona on February 14, 2019. So, I just got the new iPhone 11 Pro. I have to say, I pretty much love the facial recognition unlock feature. And no, Apple is not paying me to say that. Prior, I was a facial recognition skeptic.

MediaTek announced in November that it was going to take a break from making flagship level processors in order to focus more on the mid-range chipset segment. The move didn't surprise us since MediaTek's 2017 flagship chip Helio X30 failed to get attention from the big smartphone manufacturers. While the Meizu Pro 7 Plus does house the Helio X30, even the phone itself didn't fare well in the market in terms of sales. So it is safe to say that the Helio X30 SoC did not match up with the expectations of MediaTek. However, the company wants to move ahead and it has already planned the road map for 2018. MediaTek's Deputy General Manager, Kuan Chou Chen, announced at the year end media meet that the company will launch two new P-series processors next year.